Q: What makes ARYtech different from other consulting firms operating in the US?

Three core differentiators set us apart: We are engineers, not just theorists: We actually build and deploy production-scale AI systems, completely eliminating the execution gap that plagues traditional consulting projects. Cohesive Lifecycle Architecture: Our consulting, data engineering, and software development practices operate as a single, unified unit. Established Enterprise Pedigree: Backed by a 25-year enterprise legacy, we bring a level of corporate credibility, financial stability, and risk-managed delivery that boutique tech startups simply cannot match.

Question 1

How much does AI consulting cost for a US enterprise?

Accepted Answer

Pricing is entirely dependent on the specific scope and complexity of your project. As a general benchmark for the US enterprise market in 2026:

Initial 2-Week AI Readiness Audit:Typically costs between $7,500 and $20,000.
Comprehensive Strategy & Architecture Mapping: Usually ranges from $30,000 to $90,000.
End-to-End Consulting Partnership: Taking your organization from initial concept all the way through to a functioning Proof of Concept (PoC) generally starts around $75,000.

We always provide a transparent, itemized proposal following our initial strategy session, ensuring absolute budgetary clarity with no hidden fees.

Question 2

What is the typical timeline for an AI engagement?

Accepted Answer

We operate at the rapid pace dictated by the US corporate landscape. Our initial discovery and audit phase takes just two weeks, followed by a complete strategy and architecture blueprint delivered in three weeks. If we are engineering a functioning Proof of Concept (PoC), the timeline extends to roughly six weeks. Taking a single, high-impact use case all the way to live production deployment generally requires 8 to 12 weeks. We establish fixed milestones at kickoff and never alter delivery dates without your explicit sign-off.

Question 3

Do we need massive datasets to get started with AI?

Accepted Answer

Not at all. Waiting around for "perfect" Big Data is a common trap that stalls enterprise innovation across the United States. Many highly effective AI use cases can be deployed using modest, yet well-structured internal data. Our AI Readiness Assessment identifies exactly what data assets you currently have, what structural gaps exist, and what can realistically be achieved right now. We frequently employ advanced machine learning techniques like transfer learning, synthetic data generation, and foundation model fine-tuning to bypass data limitations and get your solution to market faster.

Question 4

Can this AI integrate with the ERP and CRM systems we already use?

Accepted Answer

Absolutely. We have extensive experience embedding intelligent models into the core enterprise platforms that drive US businesses, including SAP, Oracle, Microsoft Dynamics 365, Salesforce, and bespoke legacy back-office systems. We architect our AI integrations to enhance and securely connect with your existing IT infrastructure—never to disrupt or force a costly rip-and-replace of the tools your teams rely on daily.

Question 5

Do you work directly with organizations across the United States?

Accepted Answer

Yes, extensively. Our operations actively lead digital transformations for US enterprises nationwide. Every system we design strictly adheres to US data privacy frameworks (such as CCPA/CPRA and HIPAA) and aligns with federal security benchmarks. Furthermore, our strategic engagements are purpose-built to map directly to the broader technical and commercial goals of the US National AI Strategy. We also offer dedicated on-site workshops, technical execution reviews, and executive consultations for our enterprise clients across major US commercial hubs.

Question 6

What makes ARYtech different from other consulting firms operating in the US?

Accepted Answer

Three core differentiators set us apart:

We are engineers, not just theorists:We actually build and deploy production-scale AI systems, completely eliminating the execution gap that plagues traditional consulting projects.
Cohesive Lifecycle Architecture: Our consulting, data engineering, and software development practices operate as a single, unified unit.
Established Enterprise Pedigree: Backed by a 25-year enterprise legacy, we bring a level of corporate credibility, financial stability, and risk-managed delivery that boutique tech startups simply cannot match.

Question 7

We have an AI idea, but we aren't sure if it's technically or financially viable. Can you help?

Accepted Answer

Yes, and this is exactly where we deliver the highest value early on. Our AI Readiness Scan is designed specifically to pressure-test your concept against your actual corporate data, current IT infrastructure, and US market realities. We provide a brutally honest, objective written assessment detailing what is technically achievable, what infrastructure gaps must be bridged, and what your realistic ROI will look like. This equips your leadership team with absolute clarity before committing a major corporate budget.

Question 8

Who owns the intellectual property (IP) of the AI systems developed?

Accepted Answer

You do—100%. From the moment of delivery, all custom AI models, specialized architectures, custom codebases, fine-tuning datasets, and internal technical documentation become your exclusive corporate intellectual property. We do not retain any rights to resell, repurpose, or reuse your proprietary configurations. This is a non-negotiable guarantee written directly into every ARYtech contract.

Question 9

How do you ensure our corporate data remains secure and compliant with US laws?

Accepted Answer

Security and strict regulatory compliance form the foundational bedrock of our engineering process. Every engagement begins with a mutual NDA. We operate under rigorous security standards, aligning with SOC 2, ISO 27001, and the NIST AI Risk Management Framework to ensure compliance with federal and state data regulations. We never use your proprietary corporate data to train public models; data access is strictly role-restricted, isolated within secure environments, and permanently purged upon request when the project concludes.

Question 10

Can you integrate Generative AI and LLMs into our current software workflows?

Accepted Answer

Yes. Embedding advanced Large Language Models (such as GPT, Claude, LLaMA, Mistral, and Gemini) into complex enterprise environments is one of our core specialties. We build secure Retrieval-Augmented Generation (RAG) systems and custom fine-tuning pipelines that connect these models directly to your internal knowledge bases, ERPs, or CRMs. We handle the model selection, local data privacy guardrails, and enterprise governance to ensure your GenAI integration is production-ready, highly accurate, and fully secure from day one.

AI Consulting Services in the USA That Move From Strategy to Shipped.